Overview
- Presents state-of-the-art algorithms essential for 3D analysis from images
- Provides direct algorithm descriptions without mathematical preliminaries
- Includes helpful implementation details for efficient computation and wise memory use
- Describes the underlying mathematical theories separately at the end of the volume, and supplies sample codes at an associated website
- Includes supplementary material: sn.pub/extras
Part of the book series: Advances in Computer Vision and Pattern Recognition (ACVPR)
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Table of contents (16 chapters)
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Fundamental Algorithms for Computer Vision
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Multiview 3D Reconstruction Techniques
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Mathematical Foundation of Geometric Estimation
Keywords
About this book
Authors and Affiliations
About the authors
Dr. Kenichi Kanatani is a Professor Emeritus at Okayama University, Japan. Drs. Yasuyuki Sugaya and Yasushi Kanazawa are Associate Professors in the Department of Computer Science and Engineering at Toyohashi University of Technology, Japan.
Bibliographic Information
Book Title: Guide to 3D Vision Computation
Book Subtitle: Geometric Analysis and Implementation
Authors: Kenichi Kanatani, Yasuyuki Sugaya, Yasushi Kanazawa
Series Title: Advances in Computer Vision and Pattern Recognition
DOI: https://doi.org/10.1007/978-3-319-48493-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2016
Hardcover ISBN: 978-3-319-48492-1Published: 19 December 2016
Softcover ISBN: 978-3-319-83955-4Published: 05 July 2018
eBook ISBN: 978-3-319-48493-8Published: 09 December 2016
Series ISSN: 2191-6586
Series E-ISSN: 2191-6594
Edition Number: 1
Number of Pages: XI, 321
Number of Illustrations: 44 b/w illustrations, 10 illustrations in colour